Triple
T12539545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ickworth House |
E299799
|
entity |
| Predicate | parklandArea |
P42530
|
FINISHED |
| Object | approximately 1800 acres |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: approximately 1800 acres | Statement: [Ickworth House, parklandArea, approximately 1800 acres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parklandArea Context triple: [Ickworth House, parklandArea, approximately 1800 acres]
-
A.
parkArea
Indicates that an area of land is designated and used as a park or recreational green space.
-
B.
parkAreaType
Indicates the classification of a park’s area according to its designated type or functional category.
-
C.
largestParkArea
Indicates that, among a set of entities, one has the park whose area is greater than or equal to that of any other entity’s park.
-
D.
countyParkOrArea
Indicates that a location is designated as a county-level park or recreational area under the jurisdiction of a county authority.
-
E.
hasParklandArea
chosen
Indicates that an entity possesses or includes a specified area of land designated as parkland.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d9540d7b788190a0d57b098e90e491 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:57 p.m.